What users are saying about

Apache Spark

99 Ratings

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Top Rated
174 Ratings

Apache Spark

99 Ratings
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Score 8.6 out of 101

Tableau Online<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>Customer Verified: Read more.</a>

Top Rated
174 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 8.2 out of 101

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Likelihood to Recommend

Apache Spark

Spark is great as a workflow process and extract transform layer process tool. Is really good for machine learning especially for large datasets that can be processed in split file paralallelization. Spark streaming is scalable for close to real-time data workflow process.what it's not good for, is smaller subset of data processing.
Anson Abraham profile photo

Tableau Online

Tableau is very well suited for large organizations because of its cost. It has a great visual design. It is particularly useful when there is data integration with other software required. Dashboards come out very well in such cases and help make sense out of data. These dashboards are used on a frequent basis once a baseline or a parameter is defined. Trend analysis and forecasting are a key to using this software and this is where it comes in very handy.
Kruti Vaidya profile photo

Feature Rating Comparison

BI Standard Reporting

Apache Spark
Tableau Online
8.0
Pixel Perfect reports
Apache Spark
Tableau Online
7.9
Customizable dashboards
Apache Spark
Tableau Online
8.8
Report Formatting Templates
Apache Spark
Tableau Online
7.3

Ad-hoc Reporting

Apache Spark
Tableau Online
8.0
Drill-down analysis
Apache Spark
Tableau Online
7.9
Formatting capabilities
Apache Spark
Tableau Online
8.0
Integration with R or other statistical packages
Apache Spark
Tableau Online
7.7
Report sharing and collaboration
Apache Spark
Tableau Online
8.2

Report Output and Scheduling

Apache Spark
Tableau Online
8.0
Publish to Web
Apache Spark
Tableau Online
8.8
Publish to PDF
Apache Spark
Tableau Online
8.3
Report Versioning
Apache Spark
Tableau Online
7.6
Report Delivery Scheduling
Apache Spark
Tableau Online
7.7
Delivery to Remote Servers
Apache Spark
Tableau Online
7.9

Data Discovery and Visualization

Apache Spark
Tableau Online
8.3
Pre-built visualization formats (heatmaps, scatter plots etc.)
Apache Spark
Tableau Online
9.0
Location Analytics / Geographic Visualization
Apache Spark
Tableau Online
8.5
Predictive Analytics
Apache Spark
Tableau Online
7.4

Access Control and Security

Apache Spark
Tableau Online
8.2
Multi-User Support (named login)
Apache Spark
Tableau Online
8.2
Role-Based Security Model
Apache Spark
Tableau Online
8.1
Multiple Access Permission Levels (Create, Read, Delete)
Apache Spark
Tableau Online
8.0
Single Sign-On (SSO)
Apache Spark
Tableau Online
8.5

Mobile Capabilities

Apache Spark
Tableau Online
7.7
Responsive Design for Web Access
Apache Spark
Tableau Online
8.0
Dedicated iOS Application
Apache Spark
Tableau Online
7.3
Dedicated Android Application
Apache Spark
Tableau Online
7.7
Dashboard / Report / Visualization Interactivity on Mobile
Apache Spark
Tableau Online
7.9

Application Program Interfaces (APIs) / Embedding

Apache Spark
Tableau Online
7.6
REST API
Apache Spark
Tableau Online
8.0
Javascript API
Apache Spark
Tableau Online
8.3
iFrames
Apache Spark
Tableau Online
7.5
Java API
Apache Spark
Tableau Online
7.0
Themeable User Interface (UI)
Apache Spark
Tableau Online
7.3
Customizable Platform (Open Source)
Apache Spark
Tableau Online
7.6

Pros

  • Machine Learning.
  • Data Analysis
  • WorkFlow process (faster than MapReduce).
  • SQL connector to multiple data sources
Anson Abraham profile photo
  • Visualizations of data
  • Aggregation of complex big data
  • Tabbed browsing for organization
No photo available

Cons

  • Debugging is difficult as it is new for most people
  • There are fewer learning resources
Kartik Chavan profile photo
  • While user intuitive, that is really only true for those with data analysis and BI experience. This is still a tool for experienced data crunchers and not something I would unleash to many in my organization.
  • Still requires business intelligence consumers to be specific in their requests for data in dashboards, so it still requires the touch point between the data and the user, it requires someone with some know-how, to be in the middle. So it is still not democratizing our organizational data.
Kristopher Kroona profile photo

Usability

No score
No answers yet
No answers on this topic
Tableau Online8.2
Based on 1 answer
Simple, easy and straighforward interface.
Phil Dana, PMOC profile photo

Alternatives Considered

Even with Python, MapReduce is lengthy coding. Combination of Python with Apache Spark will not only shorten the code, but it will effectively increase the speed of algorithms. Occasionally, I use MapReduce, but Apache Spark will replace MapReduce very soon. It has many built-in and faster features.
Kartik Chavan profile photo
Tableau Online is much faster to get data sets integrated and being used, accordingly. From almost day one, we were able to integrate our data warehouse and pull data directly into Tableau Online. This made us aware of some of the data details that we had been missing and were able to provide clear insight into our audience's behaviors.
Mark Chiles profile photo

Collaboration and Sharing

No score
No answers yet
No answers on this topic
Tableau Online7.8
Based on 22 answers
What I've found, when I need to get the details and share them, is that I have to download the image, then put it into a PDF or other format, to then share. I know that there is the embed feature, but that doesn't help much when trying to provide quick information, that's confidential, to the management team that doesn't have always have a login to Tableau Online, but they need the information that I'm providing.
Mark Chiles profile photo

Data Integration

No score
No answers yet
No answers on this topic
Tableau Online7.9
Based on 22 answers
We are using direct integration with our data warehouse - Treasure Data. While there is a native integration, it's not as intuitive as most would like. When wanting to pass data to Tableau Online, the requirement is to output a query of data, which is good, but it's not always complete. It is nice, however, to be able to directly connect to a SQL, MySQL or online spreadsheet to have realtime data updated.
Mark Chiles profile photo

Return on Investment

  • Apache Spark has faster performance compared to MapReduce.
  • Combination of Python & Spark is the best. Shorter code, faster and efficient performance.
  • Can replace RDBMS
Kartik Chavan profile photo
No answers on this topic

Pricing Details

Apache Spark

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Tableau Online

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details